Terrance E. Boult

ORCID

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 103

Top Venues

Publications

Rafael Henrique Vareto, Yu Linghu, Terrance E. Boult, William Robson Schwartz, Manuel Günther
Open-set face recognition with maximal entropy and Objectosphere loss. Image Vis. Comput. 141 (2024)
Wes Robbins, Steven Zhou, Aman Bhatta, Chad Mello, Vítor Albiero, Kevin W. Bowyer, Terrance E. Boult
CAST: Conditional Attribute Subsampling Toolkit for Fine-grained Evaluation. WACV (2023)
Ali AlShami, Terrance E. Boult, Jugal Kalita
Pose2Trajectory: Using transformers on body pose to predict tennis player's trajectory. J. Vis. Commun. Image Represent. 97 (2023)
Haiyu Wu, Grace Bezold, Manuel Günther, Terrance E. Boult, Michael C. King, Kevin W. Bowyer
Consistency and Accuracy of CelebA Attribute Values. CVPR Workshops (2023)
Wes Robbins, Gabriel Bertocco, Terrance E. Boult
DaliID: Distortion-Adaptive Learned Invariance for Identification Models. CoRR (2023)
Rafael Henrique Vareto, Yu Linghu, Terrance E. Boult, William Robson Schwartz, Manuel Günther
Open-Set Face Recognition with Maximal Entropy and Objectosphere Loss. CoRR (2023)
Gabriel Bertocco, Fernanda A. Andaló, Terrance E. Boult, Anderson Rocha
Large-scale Fully-Unsupervised Re-Identification. CoRR (2023)
Chunchun Li, Manuel Günther, Akshay Raj Dhamija, Steve Cruz, Mohsen Jafarzadeh, Touqeer Ahmad, Terrance E. Boult
Agglomerative Clustering with Threshold Optimization via Extreme Value Theory. Algorithms 15 (5) (2022)
Terrance E. Boult, Nicolas M. Windesheim, Steven Zhou, Christopher Pereyda, Lawrence B. Holder
Weibull-Open-World (WOW) Multi-Type Novelty Detection in CartPole3D. Algorithms 15 (10) (2022)
Touqeer Ahmad, Mohsen Jafarzadeh, Akshay Raj Dhamija, Ryan Rabinowitz, Steve Cruz, Chunchun Li, Terrance E. Boult
Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions. IJCNN (2022)
Touqeer Ahmad, Akshay Raj Dhamija, Steve Cruz, Ryan Rabinowitz, Chunchun Li, Mohsen Jafarzadeh, Terrance E. Boult
Few-Shot Class Incremental Learning Leveraging Self-Supervised Features. CVPR Workshops (2022)
Touqeer Ahmad, Akshay Raj Dhamija, Mohsen Jafarzadeh, Steve Cruz, Ryan Rabinowitz, Chunchun Li, Terrance E. Boult
Variable Few Shot Class Incremental and Open World Learning. CVPR Workshops (2022)
Haiyu Wu, Grace Bezold, Manuel Günther, Terrance E. Boult, Michael C. King, Kevin W. Bowyer
Consistency and Accuracy of CelebA Attribute Values. CoRR (2022)
Touqeer Ahmad, Mohsen Jafarzadeh, Akshay Raj Dhamija, Ryan Rabinowitz, Steve Cruz, Chunchun Li, Terrance E. Boult
Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions. CoRR (2022)
Pedro Ribeiro Mendes Júnior, Terrance E. Boult, Jacques Wainer, Anderson Rocha
Open-Set Support Vector Machines. IEEE Trans. Syst. Man Cybern. Syst. 52 (6) (2022)
Akshay Raj Dhamija, Touqeer Ahmad, Jonathan Schwan, Mohsen Jafarzadeh, Chunchun Li, Terrance E. Boult
Self-Supervised Features Improve Open-World Learning. CoRR (2021)
Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Terrance E. Boult
Automatic Open-World Reliability Assessment. WACV (2021)
Terrance E. Boult, Yanyan Zhuang
PORT: Pooled Ordered Rectangular Testing for Improved Public Health Screening. ICHI (2021)
Christopher Gorog, Terrance E. Boult
Blockchain Synchronous Trust Consensus Model. CoRR (2021)
Chunchun Li, Manuel Günther, Terrance E. Boult
ComFu: Improving Visual Clustering by Commonality Fusion. ICMLA (2021)
Terrance E. Boult, Przemyslaw A. Grabowicz, Derek S. Prijatelj, Roni Stern, Lawrence Holder, Joshua Alspector, Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Walter J. Scheirer
Towards a Unifying Framework for Formal Theories of Novelty. AAAI (2021)
Aurobrata Ghosh, Zheng Zhong, Steve Cruz, Subbu Veeravasarapu, Maneesh Kumar Singh, Terrance E. Boult
Infoprint: Information Theoretic Digital Image Forensics. ICIP (2020)
Andras Rozsa, Terrance E. Boult, Zheng Zhong
Adversarial Attack on Deep Learning-Based Splice Localization. CVPR Workshops (2020)
James Henrydoss, Steve Cruz, Chunchun Li, Manuel Günther, Terrance E. Boult
Enhancing Open-Set Recognition using Clustering-based Extreme Value Machine (C-EVM). IEEE BigData (2020)
Akshay Raj Dhamija, Manuel Günther, Jonathan Ventura, Terrance E. Boult
The Overlooked Elephant of Object Detection: Open Set. WACV (2020)
Manuel Günther, Akshay Raj Dhamija, Terrance E. Boult
Watchlist Adaptation: Protecting the Innocent. BIOSIG (2020)
Mohsen Jafarzadeh, Akshay Raj Dhamija, Steve Cruz, Chunchun Li, Touqeer Ahmad, Terrance E. Boult
Open-World Learning Without Labels. CoRR (2020)
Andras Rozsa, Zheng Zhong, Terrance E. Boult
Adversarial Attack on Deep Learning-Based Splice Localization. CoRR (2020)
Jonathan Schwan, Akshay Raj Dhamija, Terrance E. Boult
I-MOVE: Independent Moving Objects for Velocity Estimation. WACV (2020)
Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Terrance E. Boult
Automatic Open-World Reliability Assessment. CoRR (2020)
Terrance E. Boult, Przemyslaw A. Grabowicz, Derek S. Prijatelj, Roni Stern, Larry B. Holder, Joshua Alspector, Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Walter J. Scheirer
A Unifying Framework for Formal Theories of Novelty: Framework, Examples and Discussion. CoRR (2020)
Aurobrata Ghosh, Zheng Zhong, Terrance E. Boult, Maneesh Singh
SpliceRadar: A Learned Method For Blind Image Forensics. CoRR (2019)
Akshay Raj Dhamija, Manuel Günther, Terrance E. Boult
Improving Deep Network Robustness to Unknown Inputs with Objectosphere. CVPR Workshops (2019)
Aurobrata Ghosh, Zheng Zhong, Steve Cruz, Subbu Veeravasarapu, Terrance E. Boult, Maneesh Singh
To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics. CoRR (2019)
Aurobrata Ghosh, Zheng Zhong, Terrance E. Boult, Maneesh Singh
SpliceRadar: A Learned Method For Blind Image Forensics. CVPR Workshops (2019)
Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult
Facial attributes: Accuracy and adversarial robustness. Pattern Recognit. Lett. 124 (2019)
Andras Rozsa, Terrance E. Boult
Improved Adversarial Robustness by Reducing Open Space Risk via Tent Activations. CoRR (2019)
Terrance E. Boult, Steve Cruz, Akshay Raj Dhamija, Manuel Günther, James Henrydoss, Walter J. Scheirer
Learning and the Unknown: Surveying Steps toward Open World Recognition. AAAI (2019)
Ethan M. Rudd, Lalit P. Jain, Walter J. Scheirer, Terrance E. Boult
The Extreme Value Machine. IEEE Trans. Pattern Anal. Mach. Intell. 40 (3) (2018)
Christopher Gorog, Terrance E. Boult
Solving Global Cybersecurity Problems by Connecting Trust Using Blockchain. iThings/GreenCom/CPSCom/SmartData (2018)
Svati Dhamija, Terrance E. Boult
Automated Action Units Vs. Expert Raters: Face off. WACV (2018)
Svati Dhamija, Terrance E. Boult
Learning Visual Engagement for Trauma Recovery. WACV Workshops (2018)
Chunchun Li, Manuel Günther, Terrance E. Boult
ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering. WACV (2018)
Adil M. Ahmad, Daniel Lemmond, Terrance E. Boult
Chainlets: A New Descriptor for Detection and Recognition. WACV (2018)
Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult
Facial Attributes: Accuracy and Adversarial Robustness. CoRR (2018)
Akshay Raj Dhamija, Manuel Günther, Terrance E. Boult
Reducing Network Agnostophobia. CoRR (2018)
Akshay Raj Dhamija, Manuel Günther, Terrance E. Boult
Reducing Network Agnostophobia. NeurIPS (2018)
Adria Mallol-Ragolta, Svati Dhamija, Terrance E. Boult
A Multimodal Approach for Predicting Changes in PTSD Symptom Severity. ICMI (2018)
Andras Rozsa, Manuel Günther, Terrance E. Boult
Towards Robust Deep Neural Networks with BANG. WACV (2018)
Alexander Freytag, Vittorio Ferrari, Mario Fritz, Uwe Franke, Terrance E. Boult, Juergen Gall, Walter J. Scheirer, Angela Yao, Erik Rodner
Workshop on Interactive and Adaptive Learning in an Open World. ECCV Workshops (6) (2018)
Ahmed ElSayed, Elif Kongar, Ausif Mahmood, Tarek M. Sobh, Terrance E. Boult
Neural Generative Models for 3D Faces with Application in 3D Texture Free Face Recognition. CoRR (2018)
Fahad Alsolami, Bayan Alzahrani, Terrance E. Boult
Cloud-ID-Screen: Secure fingerprint data in the cloud. ISBA (2018)
Michael Bihn, Manuel Günther, Daniel Lemmond, Terrance E. Boult
Evaluating a Convolutional Neural Network on Short-Wave Infra-Red Images. WACV Workshops (2018)
Andras Rozsa, Manuel Günther, Terrance E. Boult
LOTS about attacking deep features. IJCB (2017)
James Henrydoss, Steve Cruz, Ethan M. Rudd, Manuel Günther, Terrance E. Boult
Incremental Open Set Intrusion Recognition Using Extreme Value Machine. ICMLA (2017)
Chloe Bradley, Terrance E. Boult, Jonathan Ventura
Cross-Modal Facial Attribute Recognition with Geometric Features. FG (2017)
Manuel Günther, Andras Rozsa, Terrance E. Boult
AFFACT: Alignment-free facial attribute classification technique. IJCB (2017)
Svati Dhamija, Terrance E. Boult
Automated mood-aware engagement prediction. ACII (2017)
Ziga Emersic, Dejan Stepec, Vitomir Struc, Peter Peer, Anjith George, Adil M. Ahmad, Elshibani Omar, Terrance E. Boult, Reza Safdari, Yuxiang Zhou, Stefanos Zafeiriou, Dogucan Yaman, Fevziye Irem Eyiokur, Hazim Kemal Ekenel
The Unconstrained Ear Recognition Challenge. CoRR (2017)
Manuel Günther, Steve Cruz, Ethan M. Rudd, Terrance E. Boult
Toward Open-Set Face Recognition. CoRR (2017)
Manuel Günther, Peiyun Hu, Christian Herrmann, Chi-Ho Chan, Min Jiang, Shufan Yang, Akshay Raj Dhamija, Deva Ramanan, Jürgen Beyerer, Josef Kittler, Mohamad Al Jazaery, Mohammad Iqbal Nouyed, Guodong Guo, Cezary Stankiewicz, Terrance E. Boult
Unconstrained Face Detection and Open-Set Face Recognition Challenge. IJCB (2017)
Andras Rozsa, Manuel Günther, Terrance E. Boult
Adversarial Robustness: Softmax versus Openmax. BMVC (2017)
Ethan M. Rudd, Andras Rozsa, Manuel Günther, Terrance E. Boult
A Survey of Stealth Malware Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions. IEEE Commun. Surv. Tutorials 19 (2) (2017)
Ziga Emersic, Dejan Stepec, Vitomir Struc, Peter Peer, Anjith George, Adil M. Ahmad, Elshibani Omar, Terrance E. Boult, Reza Safdari, Yuxiang Zhou, Stefanos Zafeiriou, Dogucan Yaman, Fevziye Irem Eyiokur, Hazim Kemal Ekenel
The unconstrained ear recognition challenge. IJCB (2017)
Steve Cruz, Cora Coleman, Ethan M. Rudd, Terrance E. Boult
Open Set Intrusion Recognition for Fine-Grained Attack Categorization. CoRR (2017)
Khudran Alzhrani, Ethan M. Rudd, C. Edward Chow, Terrance E. Boult
Automated U.S Diplomatic Cables Security Classification: Topic Model Pruning vs. Classification Based on Clusters. CoRR (2017)
Svati Dhamija, Terrance E. Boult
Exploring Contextual Engagement for Trauma Recovery. CVPR Workshops (2017)
Andras Rozsa, Manuel Günther, Terrance E. Boult
Adversarial Robustness: Softmax versus Openmax. CoRR (2017)
Manuel Günther, Peiyun Hu, Christian Herrmann, Chi-Ho Chan, Min Jiang, Shufan Yang, Akshay Raj Dhamija, Deva Ramanan, Jürgen Beyerer, Josef Kittler, Mohamad Al Jazaery, Mohammad Iqbal Nouyed, Cezary Stankiewicz, Terrance E. Boult
Unconstrained Face Detection and Open-Set Face Recognition Challenge. CoRR (2017)
Manuel Günther, Steve Cruz, Ethan M. Rudd, Terrance E. Boult
Toward Open-Set Face Recognition. CVPR Workshops (2017)
Ethan M. Rudd, Manuel Günther, Terrance E. Boult
MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes. ECCV (5) (2016)
Ethan M. Rudd, Andras Rozsa, Manuel Günther, Terrance E. Boult
A Survey of Stealth Malware: Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions. CoRR (2016)
Manuel Günther, Andras Rozsa, Terrance E. Boult
AFFACT - Alignment Free Facial Attribute Classification Technique. CoRR (2016)
Ethan M. Rudd, Manuel Günther, Terrance E. Boult
PARAPH: Presentation Attack Rejection by Analyzing Polarization Hypotheses. CoRR (2016)
Andras Rozsa, Manuel Günther, Terrance E. Boult
Are Accuracy and Robustness Correlated. ICMLA (2016)
Fawaz E. Alsaadi, Terrance E. Boult
Furthering fingerprint-based authentication: Introducing the true-neighbor template. WACV (2016)
Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult
Are facial attributes adversarially robust? ICPR (2016)
Andras Rozsa, Manuel Günther, Terrance E. Boult
Are Accuracy and Robustness Correlated? CoRR (2016)
Andras Rozsa, Ethan M. Rudd, Terrance E. Boult
Adversarial Diversity and Hard Positive Generation. CoRR (2016)
Anthony O. Ayodele, Jia Rao, Terrance E. Boult
Towards Application-centric Fairness in Multi-tenant Clouds with Adaptive CPU Sharing Model. CLOUD (2016)
Andras Rozsa, Manuel Günther, Terrance E. Boult
Towards Robust Deep Neural Networks with BANG. CoRR (2016)
Richard White, Aaron Burkhart, Randy George, Terrance E. Boult, Edward Chow
Towards comparable cross-sector risk analyses: A re-examination of the Risk Analysis and Management for Critical Asset Protection (RAMCAP) methodology. Int. J. Crit. Infrastructure Prot. 14 (2016)
Abigail Graese, Andras Rozsa, Terrance E. Boult
Assessing Threat of Adversarial Examples on Deep Neural Networks. CoRR (2016)
Richard White, Aaron Burkhart, Terrance E. Boult, Edward Chow
Towards a Comparable Cross-Sector Risk Analysis: RAMCAP Revisited. Critical Infrastructure Protection (2016)
Andras Rozsa, Manuel Günther, Terrance E. Boult
Exploring LOTS in Deep Neural Networks. CoRR (2016)
Abhijit Bendale, Terrance E. Boult
What Do You Do When You Know That You Don't Know? CVPR Workshops (2016)
Ethan M. Rudd, Manuel Günther, Terrance E. Boult
MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes. CoRR (2016)
Ethan M. Rudd, Manuel Günther, Terrance E. Boult
PARAPH: Presentation Attack Rejection by Analyzing Polarization Hypotheses. CVPR Workshops (2016)
Khudran Alzhrani, Ethan M. Rudd, Terrance E. Boult, C. Edward Chow
Automated Big Text Security Classification. CoRR (2016)
Andras Rozsa, Ethan M. Rudd, Terrance E. Boult
Adversarial Diversity and Hard Positive Generation. CVPR Workshops (2016)
Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult
Are Facial Attributes Adversarially Robust? CoRR (2016)
Khudran Alzhrani, Ethan M. Rudd, Terrance E. Boult, C. Edward Chow
Automated big text security classification. ISI (2016)
Khudran Alzhrani, Ethan M. Rudd, C. Edward Chow, Terrance E. Boult
Automated big security text pruning and classification. IEEE BigData (2016)
Abhijit Bendale, Terrance E. Boult
Towards Open Set Deep Networks. CVPR (2016)
Abigail Graese, Andras Rozsa, Terrance E. Boult
Assessing Threat of Adversarial Examples on Deep Neural Networks. ICMLA (2016)
Ethan M. Rudd, Terrance E. Boult
CALIPER: Continuous Authentication Layered with Integrated PKI Encoding Recognition. CoRR (2016)
Ethan M. Rudd, Terrance E. Boult
CALIPER: Continuous Authentication Layered with Integrated PKI Encoding Recognition. CVPR Workshops (2016)
Abhijit Bendale, Terrance E. Boult
Towards Open Set Deep Networks. CoRR (2015)
Abhijit Bendale, Terrance E. Boult
Towards Open World Recognition. CVPR (2015)
Terrance E. Boult, Fernando De la Torre, Slobodan Ribaric, Vitomir Struc
Foreword - De-identification for Privacy Protection in Multimedia 2015. FG (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Terrance E. Boult